1 - Zhejiang University, China

2 - University of North Carolina at Chapel Hill, USA

3 - University of Maryland at College Park, USA

Benchmark Andy: Our GPU-based approach can simulate the clothes dressed on a Kung-Fu boy. The meshes of three cloth pieces are represented by 127K triangles. Our simulator performs all of the computations, including implicit time integration and collision handling, in 0.2s per frame (on average) on an NVIDIA GeForce GTX 1080 GPU. We use new algoriths for sparse matrix assembly, incremental collision detection and collision response.

Abstract

We present an incremental collision handling algorithm for GPU-based interactive cloth simulation. Our approach exploits the spatial and temporal coherence between successive iterations of an optimization-based solver for collision response computation. We present an incremental continuous collision detection algorithm that keeps track of deforming vertices and combine it with spatial hashing. We use a non-linear GPU-based impact zone solver to resolve the penetrations. We combine our collision handling algorithm with implicit integration to use large time steps. Our overall algorithm, I-Cloth, can simulate complex cloth deformation with a few hundred thousand vertices at 2 − 8 frames per second on a commodity GPU. We highlight its performance on different benchmarks and observe up to 7 − 10X speedup over prior algorithms.
 

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